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Vibration suppression control for AMB system based on static learning process and feedforward current compensation

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Abstract

Synchronous vibration caused by rotor eccentricity is an important obstacle to the development of an active magnetic bearing (AMB) system. To solve this problem, a novel autobalancing control strategy has been proposed, which includes a static learning process and dynamic feedforward current injection process. In this algorithm, a dynamic response process under unbalanced force is simulated by a static learning process. Then, a transfer function containing amplitude and phase information is obtained. According to the obtained transfer function information, a specific feedforward current is constructed to eliminate the synchronous component in the control current and realize the autobalancing of vibration displacement. Computational complexity compared with conventional control strategies is further investigated. Moreover, the velocity sensor is no longer needed in the proposed control strategy. The simulation and experimental results of the AMB system show that the synchronous component of the control current and the amplitude of the rotor vibration displacement can be significantly reduced.

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Data availability

The data and code used in this research are not publicly available but may be obtained upon request. Requests for access to the code should be made by email to m202171948@hust.edu.cn.

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Acknowledgements

This research was supported in part by the National Natural Science Foundation of China under Grant 52077087.

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Authors and Affiliations

  1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China

    Caiyong Ye, Jintao Lu, Shanming Wan & Xiaodong Qi

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  1. Caiyong Ye
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  2. Jintao Lu
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  3. Shanming Wan
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  4. Xiaodong Qi
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Correspondence to Shanming Wan.

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Ye, C., Lu, J., Wan, S. et al. Vibration suppression control for AMB system based on static learning process and feedforward current compensation. J. Power Electron. 24, 573–585 (2024). https://doi.org/10.1007/s43236-023-00745-6

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  • DOI: https://doi.org/10.1007/s43236-023-00745-6

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